{"id":"W7011508561","doi":"","title":"Mercury in African freshwater fishes: A continent-wide review and a case study of Nile perch («Lates niloticus»)","year":2015,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Aquatic Ecosystems and Biodiversity","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University; Université de Montréal; Fonds Québécois de la Recherche sur la Nature et les Technologies; National Geographic Society","keywords":"Mercury (programming language); Perch; Aquatic animal; Fishing; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001058821,0.0004159608,0.0009282247,0.004872792,0.0002748323,0.0008899202,0.000379447,0.0006009042,0.0008628162],"category_scores_gemma":[0.00162742,0.0002591538,0.0007069464,0.006371795,0.0005923183,0.001036612,0.0006538495,0.0002807008,0.00007511708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005121063,"about_ca_system_score_gemma":0.001987868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01005104,"about_ca_topic_score_gemma":0.03485384,"domain_scores_codex":[0.999655,0.00006391186,0.0001227603,0.00005303105,0.00007064825,0.00003467773],"domain_scores_gemma":[0.9985369,0.0007825371,0.0004351311,0.00002121865,0.0001807089,0.00004356314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0003976316,0.00008689731,0.07072826,0.1569325,0.002043115,0.003807073,0.005613847,0.0002976507,0.003790305,0.0008557453,0.008392663,0.7470543],"study_design_scores_gemma":[0.0000530571,0.0007072192,0.5985922,0.09603357,0.01108343,0.01747948,0.01254702,0.0002304913,0.001472304,0.0006000727,0.2610753,0.0001258673],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01465477,0.9844947,0.00003517092,0.0003930424,0.00003998114,0.000005616281,0.0000785195,0.000001951751,0.0002961693],"genre_scores_gemma":[0.05068862,0.9485088,0.0002037174,0.0003346075,0.00005434333,0.000008079248,0.00007135697,0.000001697856,0.0001288148],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01005104,"threshold_uncertainty_score":0.01998508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.020698631032767,"score_gpt":0.2413327743457993,"score_spread":0.2206341433130323,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}